What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Polymer
Biomedical engineering, Microelectrode, Nanotechnology, Cerebral cortex and Silicon are his primary areas of study.
His biological study focuses on Brain implant.
The study incorporates disciplines such as Electronic component, Electronic engineering and Nervous system in addition to Brain implant.
His Microelectrode research incorporates elements of PEDOT:PSS, Poly, Conductive polymer and Noise floor.
His research in Cerebral cortex tackles topics such as Neurophysiology which are related to areas like Signal quality, Motor cortex and Auditory cortex.
His Silicon research includes elements of Microfluidics and Polyimide.
His most cited work include:
- Wireless implantable microsystems: high-density electronic interfaces to the nervous system (576 citations)
- Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) film (477 citations)
- Ultrasmall implantable composite microelectrodes with bioactive surfaces for chronic neural interfaces (432 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Biomedical engineering, Microelectrode, Neuroscience, Nanotechnology and Neurophysiology.
His research integrates issues of Cerebral cortex, Poly and Electrophysiology in his study of Biomedical engineering.
Daryl R. Kipke has included themes like Microfluidics, Silicon, Drug delivery and Microelectromechanical systems in his Microelectrode study.
His Nanotechnology research includes themes of Optoelectronics and Polymer.
His Parylene study in the realm of Polymer connects with subjects such as Calcium alginate.
His work deals with themes such as Brain–computer interface and Cortex, which intersect with Motor cortex.
He most often published in these fields:
- Biomedical engineering (49.35%)
- Microelectrode (28.57%)
- Neuroscience (23.38%)
What were the highlights of his more recent work (between 2012-2019)?
- Biomedical engineering (49.35%)
- Electrode array (7.79%)
- Neuroscience (23.38%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Biomedical engineering, Electrode array, Neuroscience, Stimulation and Optoelectronics.
His Biomedical engineering study integrates concerns from other disciplines, such as Guide tube and Cardiac electrophysiology.
Many of his research projects under Neuroscience are closely connected to Technical innovation with Technical innovation, tying the diverse disciplines of science together.
His studies deal with areas such as Gamma power, Electroencephalography, Motor cortex, Primary motor cortex and Cortex as well as Local field potential.
His research investigates the connection between Stimulation and topics such as Spinal cord that intersect with problems in Inhibitory postsynaptic potential, Biceps and Electromyography.
His Optoelectronics research integrates issues from Electrode Contact and Substrate.
Between 2012 and 2019, his most popular works were:
- Tools for probing local circuits: High-density silicon probes combined with optogenetics (213 citations)
- Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling (40 citations)
- A Novel Lead Design for Modulation and Sensing of Deep Brain Structures (19 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Neuron
- Electrical engineering
Daryl R. Kipke mostly deals with Neuroscience, Local field potential, Electronic circuit, Pattern recognition and Mixture model.
His Neuroscience study frequently draws connections between related disciplines such as Electrode array.
His study in Local field potential is interdisciplinary in nature, drawing from both Electroencephalography, Motor cortex, Stimulation, Primary motor cortex and Cortex.
Daryl R. Kipke combines subjects such as Neuron types, Electrophysiology and Optogenetics with his study of Electronic circuit.
His studies in Pattern recognition integrate themes in fields like Spike sorting, Cluster analysis, Artificial intelligence and Speech recognition.
As part of his studies on Mixture model, Daryl R. Kipke often connects relevant areas like Missing data.
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